Agent skill · marketing growth · aradotso

genpark-marketing-email-spamprevent-skill

Scan marketing email drafts for spam trigger words and calculate deliverability scores to prevent blocklisting

Why this skill is useful

Provides domain-specific knowledge on spam trigger words and deliverability scoring that the AI wouldn't reliably generate on its own.

What it needs

Requires python, python-dotenv, requests installed locally. Requires genpark account access. About 5k tokens when loaded. Last updated 2026-08-05. 8 stars on the source repository.

What this skill does

genpark-marketing-email-spamprevent-skill Skill by ara.so — Marketing Skills collection. Overview GenPark Marketing Email Spam Prevent is a Python-based AI skill that analyzes marketing email content (subject lines and body copy) to identify spam trigger words and calculate deliverability scores. It helps prevent legitimate marketing emails from being flagged by spam filters or causing domain blocklisting. The tool evaluates content against known spam patterns, aggressive marketing language, and suspicious formatting to provide actionable feedback before sending campaigns. Installation If no requirements.txt exists, the core dependencies are typically: Basic Usage Python Client API Detailed Analysis Response Configuration Environment Variables Create a .env file in the project root: Configuration File Create config.json for custom trigger word lists: Key API Methods analyzecopy() Main method for analyzing email content: batchanalyze() Analyze multiple emails at once: getsuggestions() Get improvement suggestions for flagged content: Common Patterns Pre-Send Email Validation Newsletter Template Testing A/B Testing Subject Lines Integration with Email Service Troubleshooting High Spam Scores on Legitimate Content If legitimate emails score too high: Missing Dependencies API Connection Issues Custom Trigger Word Lists Best Practices 1. Test Early: Analyze copy before finalizing email designs 2. Monitor Scores: Track spam scores across campaigns to identify patterns 3. Iterate Subject Lines: Test multiple variants before sending 4. Keep Scores Low: Aim for spam scores below 30 for best deliverability 5. Review Triggers: Regularly review and update custom trigger word lists 6. Use Environment Variables: Never hardcode API keys in scripts Example Workflow

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills aradotso/genpark-marketing-email-spamprevent-skill

View the source on GitHub

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